Back
Strong employer brand, metro locations, popular Python developer title, and 3–6 years mid-level experience increase competition.
Core Python backend skills transfer across industries, but GenAI/LLM specialization increases domain sensitivity.
Explicit 4+ years, mandatory Python/API/LLM integration and microservices requirements imply high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain AI-integrated Python applications including Enterprise APIs and containerization.
Develop and implement web applications with Python frameworks (Flask/Django), React, RAG architecture, and Azure OpenAI integrations.
Troubleshoot backend issues, optimize application performance, and ensure scalability and reliability.
4+ years experience with Python and API development, including 2+ years integrating Large Language Models (LLMs).
Hands-on experience developing RESTful APIs and WebSockets using Python frameworks such as FastAPI or Flask.
Experience designing, implementing, and deploying microservice architectures and event-driven systems (e.g., Kafka, Pub/Sub).
Bachelor’s degree in Engineering or Technology (B.Tech/BE) or higher.
Proven ability to leverage GenAI libraries (e.g., LangChain, LangGraph) to build Agentic AI applications.
Experience integrating various LLMs such as Gemini, OpenAI, Claude and implementing Retrieval-Augmented Generation (RAG) architectures.
Collaborates effectively in cross-functional teams with exposure to cloud environments and container orchestration (Kubernetes).